{"id":"https://openalex.org/W2967423944","doi":"https://doi.org/10.1109/cec.2019.8790122","title":"Crude Oil Distillation Optimization Using Surrogate-aided Constrained Evolutionary Optimization","display_name":"Crude Oil Distillation Optimization Using Surrogate-aided Constrained Evolutionary Optimization","publication_year":2019,"publication_date":"2019-06-01","ids":{"openalex":"https://openalex.org/W2967423944","doi":"https://doi.org/10.1109/cec.2019.8790122","mag":"2967423944"},"language":"en","primary_location":{"id":"doi:10.1109/cec.2019.8790122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"},"type":"article","indexed_in":["crossref"],"open_access":{"is_oa":false,"oa_status":"closed","oa_url":null,"any_repository_has_fulltext":false},"authorships":[{"author_position":"first","author":{"id":"https://openalex.org/A5102759249","display_name":"Xue Feng","orcid":"https://orcid.org/0000-0003-2058-3592"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":true,"raw_author_name":"Feng Xue","raw_affiliation_strings":["Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5100349596","display_name":"Lei Liu","orcid":"https://orcid.org/0000-0002-8848-4008"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Lei Liu","raw_affiliation_strings":["Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"middle","author":{"id":"https://openalex.org/A5101774811","display_name":"Xiaoxia Chen","orcid":"https://orcid.org/0000-0002-1196-234X"},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xiaoxia Chen","raw_affiliation_strings":["Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]},{"author_position":"last","author":{"id":"https://openalex.org/A5101551333","display_name":"Xuhua Shi","orcid":null},"institutions":[{"id":"https://openalex.org/I109935558","display_name":"Ningbo University","ror":"https://ror.org/03et85d35","country_code":"CN","type":"education","lineage":["https://openalex.org/I109935558"]}],"countries":["CN"],"is_corresponding":false,"raw_author_name":"Xuhua Shi","raw_affiliation_strings":["Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China"],"affiliations":[{"raw_affiliation_string":"Faculty of electrical engineering and computer science, Ningbo University, Ningbo, China","institution_ids":["https://openalex.org/I109935558"]}]}],"institutions":[],"countries_distinct_count":1,"institutions_distinct_count":4,"corresponding_author_ids":["https://openalex.org/A5102759249"],"corresponding_institution_ids":["https://openalex.org/I109935558"],"apc_list":null,"apc_paid":null,"fwci":0.0,"has_fulltext":false,"cited_by_count":1,"citation_normalized_percentile":{"value":0.0850555,"is_in_top_1_percent":false,"is_in_top_10_percent":false},"cited_by_percentile_year":{"min":89,"max":94},"biblio":{"volume":null,"issue":null,"first_page":"1118","last_page":"1125"},"is_retracted":false,"is_paratext":false,"is_xpac":false,"primary_topic":{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},"topics":[{"id":"https://openalex.org/T11053","display_name":"Process Optimization and Integration","score":0.9994999766349792,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10791","display_name":"Advanced Control Systems Optimization","score":0.9955000281333923,"subfield":{"id":"https://openalex.org/subfields/2207","display_name":"Control and Systems Engineering"},"field":{"id":"https://openalex.org/fields/22","display_name":"Engineering"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}},{"id":"https://openalex.org/T10848","display_name":"Advanced Multi-Objective Optimization Algorithms","score":0.9941999912261963,"subfield":{"id":"https://openalex.org/subfields/1703","display_name":"Computational Theory and Mathematics"},"field":{"id":"https://openalex.org/fields/17","display_name":"Computer Science"},"domain":{"id":"https://openalex.org/domains/3","display_name":"Physical Sciences"}}],"keywords":[{"id":"https://openalex.org/keywords/mathematical-optimization","display_name":"Mathematical optimization","score":0.6312726736068726},{"id":"https://openalex.org/keywords/benchmark","display_name":"Benchmark (surveying)","score":0.6306788921356201},{"id":"https://openalex.org/keywords/surrogate-model","display_name":"Surrogate model","score":0.6284521818161011},{"id":"https://openalex.org/keywords/computer-science","display_name":"Computer science","score":0.6063215732574463},{"id":"https://openalex.org/keywords/optimization-problem","display_name":"Optimization problem","score":0.5185335278511047},{"id":"https://openalex.org/keywords/distillation","display_name":"Distillation","score":0.4861402213573456},{"id":"https://openalex.org/keywords/stability","display_name":"Stability (learning theory)","score":0.4533027410507202},{"id":"https://openalex.org/keywords/evolutionary-algorithm","display_name":"Evolutionary algorithm","score":0.42526325583457947},{"id":"https://openalex.org/keywords/mathematics","display_name":"Mathematics","score":0.21675556898117065},{"id":"https://openalex.org/keywords/machine-learning","display_name":"Machine learning","score":0.14120981097221375}],"concepts":[{"id":"https://openalex.org/C126255220","wikidata":"https://www.wikidata.org/wiki/Q141495","display_name":"Mathematical optimization","level":1,"score":0.6312726736068726},{"id":"https://openalex.org/C185798385","wikidata":"https://www.wikidata.org/wiki/Q1161707","display_name":"Benchmark (surveying)","level":2,"score":0.6306788921356201},{"id":"https://openalex.org/C131675550","wikidata":"https://www.wikidata.org/wiki/Q7646884","display_name":"Surrogate model","level":2,"score":0.6284521818161011},{"id":"https://openalex.org/C41008148","wikidata":"https://www.wikidata.org/wiki/Q21198","display_name":"Computer science","level":0,"score":0.6063215732574463},{"id":"https://openalex.org/C137836250","wikidata":"https://www.wikidata.org/wiki/Q984063","display_name":"Optimization problem","level":2,"score":0.5185335278511047},{"id":"https://openalex.org/C204030448","wikidata":"https://www.wikidata.org/wiki/Q101017","display_name":"Distillation","level":2,"score":0.4861402213573456},{"id":"https://openalex.org/C112972136","wikidata":"https://www.wikidata.org/wiki/Q7595718","display_name":"Stability (learning theory)","level":2,"score":0.4533027410507202},{"id":"https://openalex.org/C159149176","wikidata":"https://www.wikidata.org/wiki/Q14489129","display_name":"Evolutionary algorithm","level":2,"score":0.42526325583457947},{"id":"https://openalex.org/C33923547","wikidata":"https://www.wikidata.org/wiki/Q395","display_name":"Mathematics","level":0,"score":0.21675556898117065},{"id":"https://openalex.org/C119857082","wikidata":"https://www.wikidata.org/wiki/Q2539","display_name":"Machine learning","level":1,"score":0.14120981097221375},{"id":"https://openalex.org/C205649164","wikidata":"https://www.wikidata.org/wiki/Q1071","display_name":"Geography","level":0,"score":0.0},{"id":"https://openalex.org/C13280743","wikidata":"https://www.wikidata.org/wiki/Q131089","display_name":"Geodesy","level":1,"score":0.0},{"id":"https://openalex.org/C185592680","wikidata":"https://www.wikidata.org/wiki/Q2329","display_name":"Chemistry","level":0,"score":0.0},{"id":"https://openalex.org/C178790620","wikidata":"https://www.wikidata.org/wiki/Q11351","display_name":"Organic chemistry","level":1,"score":0.0}],"mesh":[],"locations_count":1,"locations":[{"id":"doi:10.1109/cec.2019.8790122","is_oa":false,"landing_page_url":"https://doi.org/10.1109/cec.2019.8790122","pdf_url":null,"source":null,"license":null,"license_id":null,"version":"publishedVersion","is_accepted":true,"is_published":true,"raw_source_name":"2019 IEEE Congress on Evolutionary Computation (CEC)","raw_type":"proceedings-article"}],"best_oa_location":null,"sustainable_development_goals":[],"awards":[],"funders":[],"has_content":{"pdf":false,"grobid_xml":false},"content_urls":null,"referenced_works_count":21,"referenced_works":["https://openalex.org/W1518025915","https://openalex.org/W1538616547","https://openalex.org/W1548010335","https://openalex.org/W2020029583","https://openalex.org/W2022900164","https://openalex.org/W2023910014","https://openalex.org/W2028216307","https://openalex.org/W2032306963","https://openalex.org/W2071747228","https://openalex.org/W2082228576","https://openalex.org/W2088238154","https://openalex.org/W2090476700","https://openalex.org/W2092109490","https://openalex.org/W2109001484","https://openalex.org/W2131612655","https://openalex.org/W2136918060","https://openalex.org/W2151238122","https://openalex.org/W2151339633","https://openalex.org/W2162764429","https://openalex.org/W2679717297","https://openalex.org/W6630740437"],"related_works":["https://openalex.org/W2378211422","https://openalex.org/W4321353415","https://openalex.org/W2745001401","https://openalex.org/W2130974462","https://openalex.org/W2028665553","https://openalex.org/W2086519370","https://openalex.org/W2726551571","https://openalex.org/W4293363729","https://openalex.org/W2338031201","https://openalex.org/W2022485595"],"abstract_inverted_index":{"Evolutionary":[0],"optimization":[1,20,67,91,111,117],"of":[2,48,115,124,126,137],"a":[3,9,16],"crude":[4,99,138],"oil":[5,100,139],"distillation":[6,101,140],"operation":[7],"is":[8,55,106],"time-consuming":[10,70,127],"task.":[11],"Therefore,":[12],"this":[13],"paper":[14],"proposes":[15],"surrogate-aided":[17],"constrained":[18,53,110],"evolutionary":[19],"algorithm":[21],"(SACEO),":[22],"in":[23,113],"which":[24],"surrogate":[25,43,62,82],"models'":[26,63],"establishment":[27],"and":[28,41,60,66,97,119],"management":[29],"are":[30,88],"combined":[31],"to":[32,108],"search":[33],"for":[34,57,94],"an":[35,51],"optimal":[36],"result.":[37],"By":[38],"establishing":[39],"global":[40,59],"local":[42,61],"models":[44,73,83,128],"with":[45],"the":[46,58,81,85,98,122,134,147],"goal":[47],"maximizing":[49],"profit,":[50],"adaptive":[52],"optimizer":[54],"developed":[56],"infilling":[64],"operations":[65],"searching.":[68],"Thus,":[69,133],"strict":[71],"mechanism":[72],"can":[74,129,142],"gradually":[75],"be":[76,130,143],"approximated":[77],"by":[78],"continuously":[79],"updating":[80],"until":[84],"optimized":[86],"results":[87,92],"obtained.":[89],"The":[90],"obtained":[93],"benchmark":[95],"systems":[96],"system":[102],"indicate":[103],"that":[104],"SACEO":[105],"similar":[107],"other":[109],"algorithms":[112],"terms":[114],"its":[116],"accuracy":[118],"stability,":[120],"while":[121,145],"number":[123],"evaluations":[125],"considerably":[131],"reduced.":[132],"economic":[135],"efficiency":[136],"processes":[141],"improved":[144],"satisfying":[146],"production":[148],"conditions.":[149]},"counts_by_year":[{"year":2023,"cited_by_count":1}],"updated_date":"2025-11-25T21:42:39.735039","created_date":"2025-10-10T00:00:00"}
